Nardine Basta, Robin Carpentier, Benjamin Zhao, Dali Kaafar · 2026 · Lecture notes in computer science
DOI: 10.1007/978-3-032-37682-4_23 · cited by 0 works (OpenAlex) · open-access PDF
Phone scams impose substantial and growing costs on individuals and financial systems worldwide, yet existing countermeasures impose no resource cost on perpetrators. Strategic scam-baiting, in which automated agents engage scammers to deplete their operational capacity, offers a proactive alternative but requires dynamic strategy adaptation that static systems cannot provide. We introduce a game-theoretic framework enabling LLMs to learn effective counter-strategies through in-context experience without fine-tuning. The framework models scammer-baiter interactions as a two-player game with em
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Topics: Computer science, Nash equilibrium, Game theory, Benchmark (surveying), Phone, Computer security
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